Upload Date | August 16 2024 03:05 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS PRO AX |
Power Plan | Bitsum Highest Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5900X |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
Base Frequency | 3.70 GHz |
Cluster 1 | 12 Cores |
L1 Instruction Cache | 32.0 KB x 12 |
L1 Data Cache | 32.0 KB x 12 |
L2 Cache | 512 KB x 12 |
L3 Cache | 32.0 MB x 2 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4080 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
10792
2.02 KIPS |
|
Image Classification (F16)
|
100% |
11274
2.11 KIPS |
|
Image Classification (I8)
|
100% |
9764
1.83 KIPS |
|
Image Segmentation (F32)
|
100% |
17970
300.1 IPS |
|
Image Segmentation (F16)
|
100% |
18093
302.2 IPS |
|
Image Segmentation (I8)
|
98% |
16245
271.3 IPS |
|
Pose Estimation (F32)
|
100% |
238015
288.2 IPS |
|
Pose Estimation (F16)
|
100% |
239339
289.8 IPS |
|
Pose Estimation (I8)
|
100% |
210409
254.8 IPS |
|
Object Detection (F32)
|
100% |
6713
501.1 IPS |
|
Object Detection (F16)
|
100% |
6730
502.5 IPS |
|
Object Detection (I8)
|
56% |
6357
474.6 IPS |
|
Face Detection (F32)
|
100% |
38564
458.5 IPS |
|
Face Detection (F16)
|
100% |
38932
462.9 IPS |
|
Face Detection (I8)
|
89% |
32714
389.0 IPS |
|
Depth Estimation (F32)
|
100% |
73615
570.9 IPS |
|
Depth Estimation (F16)
|
100% |
69104
535.9 IPS |
|
Depth Estimation (I8)
|
94% |
55780
432.6 IPS |
|
Style Transfer (F32)
|
100% |
347136
456.6 IPS |
|
Style Transfer (F16)
|
100% |
348670
458.6 IPS |
|
Style Transfer (I8)
|
98% |
306444
403.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
47595
1.70 KIPS |
|
Image Super-Resolution (F16)
|
100% |
47480
1.70 KIPS |
|
Image Super-Resolution (I8)
|
99% |
37107
1.33 KIPS |
|
Text Classification (F32)
|
100% |
2789
4.01 KIPS |
|
Text Classification (F16)
|
100% |
2749
3.95 KIPS |
|
Text Classification (I8)
|
98% |
1821
2.62 KIPS |
|
Machine Translation (F32)
|
100% |
4953
91.1 IPS |
|
Machine Translation (F16)
|
100% |
4697
86.4 IPS |
|
Machine Translation (I8)
|
70% |
2798
51.5 IPS |